The Gene Expression Omnibus (GEO) has many studies where gene expression from young human or mouse tissues was compared to old tissues. Such studies not always focused on understanding the aging process but the data collected from such studies can be used to do so. Collecting signatures from young vs. old tissues can shed light on common alteration in pathway activity in aging and ultimately lead to the identification of small molecules that can potentially slow down aging. Note that the “young” sample should be from mature but young adults and not from tissue collected from organisms that still undergo development and maturation. Using GEO2Enrichr and the crowdsourcing portal you can contribute signatures to this collection. The hashtag for this project is #AGING_BD2K_LINCS_DCIC_COURSERA.